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prompt-cache-skills

Correct prompt caching issues in AI coding agent harnesses.

113|8|Updated May 28, 2026
Search Tags:#cost reduction#performance improvement#AI coding#prompt caching#API optimization
One-click install
npx skills add https://github.com/OnlyTerp/prompt-cache-skills --skill prompt-cache-skills
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: prompt-cache-skills
Source: https://github.com/OnlyTerp/prompt-cache-skills/tree/main/skills/_TEMPLATE
Command: npx skills add https://github.com/OnlyTerp/prompt-cache-skills --skill prompt-cache-skills

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill addresses the issue of inefficient prompt caching in popular AI coding agent harnesses, leading to higher API costs and suboptimal performance.

Core Features & Use Cases

  • API Cost Reduction: Provides drop-in skills to correct caching issues, reducing API costs by up to 90%.
  • Performance Improvement: Increases cache hit rates to 80-99%, enhancing agent efficiency.
  • Ease of Integration: Skills are designed to be easily applied by pointing the agent to the repository and executing a single command.

Quick Start

Apply all skills in this repository to your AI coding agent to optimize prompt caching.

Frequently Asked Questions about prompt-cache-skills

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I reduce AI coding agent API costs with prompt caching?▼

You can reduce AI coding agent API costs by applying drop-in skills that correct inefficient prompt caching, increasing cache hit rates to 80-99% and lowering API expenses by up to 90%.

Why does my AI coding agent have low cache hit rates and high API costs?▼

Low cache hit rates and high API costs occur because popular AI coding agent harnesses have inefficient prompt caching mechanisms that fail to reuse context properly.

Can I use prompt caching optimization skills with Claude Code, Cursor, or Gemini CLI?▼

Yes, prompt caching optimization skills are applicable to Claude Code, Cursor, Gemini CLI, Codex, Cline, Devin, OpenCode, and other major AI coding agent harnesses.

How do I fix prompt caching issues in my AI coding agent?▼

You fix prompt caching issues by pointing your AI coding agent to the skill repository and executing a single command to apply all drop-in caching corrections automatically.

Do I need to manually configure prompt caching settings to improve agent performance?▼

No manual research or configuration is required; the skills are designed as drop-in fixes that automatically optimize prompt caching to enhance agent performance.

What is the best way to improve AI agent caching without changing my existing workflow?▼

The best way to improve AI agent caching without workflow disruption is applying drop-in skills that automatically correct harness-level caching issues, requiring no manual setup.

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